3 Typical GPU System Configurations Entry level Professional level Enterprise level Workstation with 1 GPU card Available "off the shelf Good acceleration for smaller models Limited model size (depends on available GPU memory and features used) Workstation/server with multiple internal or external GPU cards CST engineers are available to discuss with you which configuration makes sense for your applications and usage scenario. Many configurations available Good acceleration for medium size and large models Limited model size (depends on available GPU memory and features used) Cluster system with highspeed interconnect. High flexibility: Can handle extremely large models using MPI Computing and also a lot of parallel simulation tasks using Distributed Computing (DC) Administrative overhead Higher price

4 MPI Computing Area of Application MPI Computing is a way to handle very large models efficiently Some application examples for MPI Computing: Electrically very large structures (e.g. RCS calculation, lightning strike) Extremely complex structures (e.g.si simulation for a full package)

5 MPI Computing Working Principle Subdomain boundary CST STUDIO SUITE Frontend connects to MPI Client Nodes Domain decomposition is shown in mesh view. High speed/low latency interconnection network (optional) Based on a domain decomposition of the simulation domain. Each cluster computer works on its part of the domain. Automatic load balancing ensures an equal distribution of the workload. It works cross-platform on Windows and Linux systems.

9 Sub-Volume Monitors Sub-volume monitors allow to record field data only in a region of interest allowing for a reduction of data. This is especially important for large models which have hundreds of millions mesh cells. Field data is only stored in the sub-volume defined by the box

13 DC Main Controller The DC Main Controller gives you a complete overview about what is happening on your cluster. Job Status Machine Status Essential resources (RAM usage and disk space) are monitored as well in the 2014 version.

14 GPU Assignment Users who have smaller jobs can start multiple solver servers and assign each GPU to a separate server. This allows for a more efficient use of multi- GPU hardware

17 HPC in the Cloud CST is working together with HPC hardware and service providers to enable easy access to large computing power for challenging simulations which can't be run on in-house hardware. Users rent a CST license for the resources they need and pay the HPC provider for the required hardware. + HPC system provider Currently supported providers hosting CST STUDIO SUITE: More information can be found in the HPC section of our website: https://www.cst.com/products/hpc/cloud-computing

18 HPC Hardware Design Process A general hardware recommendation is available on our website which helps you to configure standard systems (e.g. workstations) for CST STUDIO SUITE. For HPC systems (multi-gpu systems, clusters) our hardware experts are available to guide you through the whole process of system design and benchmarking to ensure that your new system is compatible with CST STUDIO SUITE and delivers the expected performance. HPC System Design Process Personal contact with CST engineers to design solution. Benchmarking of designed computing solution in the hardware test center of the preferred vendor. Buy the machine if it fulfills your expectations.

Recent Advances in HPC for Structural Mechanics Simulations 1 Trends in Engineering Driving Demand for HPC Increase product performance and integrity in less time Consider more design variants Find the

Very Large Enterprise Network Deployment, 25,000+ Users Websense software can be deployed in different configurations, depending on the size and characteristics of the network, and the organization s filtering

Very Large Enterprise Network, Deployment, 25000+ Users Websense software can be deployed in different configurations, depending on the size and characteristics of the network, and the organization s filtering

Accelerating CFD using OpenFOAM with GPUs Authors: Saeed Iqbal and Kevin Tubbs The OpenFOAM CFD Toolbox is a free, open source CFD software package produced by OpenCFD Ltd. Its user base represents a wide

GPU System Architecture EPCC The University of Edinburgh Outline Why do we want/need accelerators such as GPUs? GPU-CPU comparison Architectural reasons for GPU performance advantages GPU accelerated systems

Enterprise Network Deployment, 10,000 25,000 Users Websense software can be deployed in different configurations, depending on the size and characteristics of the network, and the organization s filtering

Cluster Computing May 25, 2011 How to get an account https://fyrkat.grid.aau.dk/useraccount How to get help https://fyrkat.grid.aau.dk/wiki What is a Cluster Anyway It is NOT something that does any of

Self service for software development tools Michal Husejko, behalf of colleagues in CERN IT/PES CERN IT Department CH-1211 Genève 23 Switzerland www.cern.ch/it Self service for software development tools

Research Report The Mainframe Virtualization Advantage: How to Save Over Million Dollars Using an IBM System z as a Linux Cloud Server Executive Summary Information technology (IT) executives should be

Edward Walker benchmarking Amazon EC2 for high-performance scientific computing Edward Walker is a Research Scientist with the Texas Advanced Computing Center at the University of Texas at Austin. He received

FLOW-3D Performance Benchmark and Profiling September 2012 Note The following research was performed under the HPC Advisory Council activities Participating vendors: FLOW-3D, Dell, Intel, Mellanox Compute

OpenFOAM Performance Benchmark and Profiling Jan 2010 Note The following research was performed under the HPC Advisory Council activities Participating vendors: AMD, Dell, Mellanox Compute resource - HPC

WS on Models, Algorithms and Methodologies for Hierarchical Parallelism in new HPC Systems The High Performance Internet of Things: using GVirtuS for gluing cloud computing and ubiquitous connected devices

ANSYS FLUENT Performance Benchmark and Profiling May 29 Note The following research was performed under the HPC Advisory Council activities Participating vendors: AMD, ANSYS, Dell, Mellanox Compute resource

Sage Grant Management System Requirements You should meet or exceed the following system requirements: One Server - Database/Web Server The following system requirements are for Sage Grant Management to

LS DYNA Performance Benchmarks and Profiling January 2009 Note The following research was performed under the HPC Advisory Council activities AMD, Dell, Mellanox HPC Advisory Council Cluster Center The

Team Services PREMISE INSTALLATION REQUIREMENTS HARDWARE, SOFTWARE AND CONFIGURATION REQUIREMENTS Team Services may require reconfiguration of a client s existing environment to support our new dedicated

Achieving Nanosecond Latency Between Applications with IPC Shared Memory Messaging In some markets and scenarios where competitive advantage is all about speed, speed is measured in micro- and even nano-seconds.

ECLIPSE Performance Benchmarks and Profiling January 2009 Note The following research was performed under the HPC Advisory Council activities AMD, Dell, Mellanox, Schlumberger HPC Advisory Council Cluster

To ensure the functioning of the site, we use cookies. We share information about your activities on the site with our partners and Google partners: social networks and companies engaged in advertising and web analytics. For more information, see the Privacy Policy and Google Privacy &amp Terms.
Your consent to our cookies if you continue to use this website.